Spotify13mo ago

Research Scientist - Personalization

London · (london) · LondonRemotePermanentmid

Data ScienceData ScientistResearch ScientistDataData & AI

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Overview

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them.

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Data ScienceData ScientistResearch ScientistDataData & AI

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like.

We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences. You will join a team of researchers whose focus is on enhancing the Spotify experience by researching, developing, and integrating state-of-the-art generative AI technologies into our search and recommender systems, and unlock new interactive experiences.

You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.

Areas of expertise: Information Retrieval, Recommendation System, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning

Participate in groundbreaking research in artificial intelligence with a focus on large-scale generative applications to search and recommendation systems

Apply your scientific knowledge to analyze and collect data, identify problems, construct methodologies, including metrics and standard processes, conduct experiments, and devise scalable solutions through hands-on prototyping and development

Work on practical applications such as search, recommendation, language understanding in the music and talk audio domains

Collaborate with other scientists, engineers, product managers, designers, and data analysts across Spotify to design and develop innovative solutions to challenging problems

Impact Spotify products, while working on and iterating further a long-term research roadmap

Maintain a research profile through external engagement by publishing scientific papers, coordinating workshops, giving talks, and being an active community member at top conferences

You have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areas

You have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender systems

You have peer-reviewed publications at journals or conferences such as RecSys, TheWebConf, WSDM, SIGIR, EMNLP, ACL, COLM, ICML, ICLR, NeurIPS, or related

You have solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing, and modeling of large scale real data

You are passionate about making sense of user behavior, music content, and talk audio content using best available methods

You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

Listing Details

Posted: March 28, 2025
First seen: March 25, 2026
Last seen: April 24, 2026

Posting Health

Days active: 30
Repost count: 0
Trust Level: 39%
Scored at: April 25, 2026

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Spotify

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Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Employees

3k+

Founded

2006

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Jobs

External application · ~5 min on Spotify's site

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